Data Engineering Manager
Arintra · Bengaluru · onsite · Posted 1d ago
About a minute. You'll make an account on the way through.
About this role
Requirements:
- 9+ years in software or data engineering, with 6+ hands-on in data engineering and 2+ years directly managing data engineers (hiring, performance, 1:1s).
- Came up as a strong engineer: wrote and owned production data code in Python and SQL, and can still sketch and review designs.
- Designed and owned a production data platform end-to-end (batch and streaming, orchestration, warehouse, or lakehouse) and built it rather than inherited it
- Owned data quality and reliability: DQ checks, pipeline SLAs, incidents, and RCAs in production.
- Built data for ML consumers: training and evaluation datasets, dataset versioning, feature pipelines, and human feedback or labeling loops.
- Strong statistical and analytical grounding, or building the data layer of an analytics product: metric design, sampling for data audits, anomaly and drift detection, cohort or experiment analysis, or a metrics or semantic layer, customer-facing dashboards, and reporting APIs that clients rely on.
- GCP depth (BigQuery, Dataflow, Pub/Sub, Composer); strong AWS or Azure equivalents are acceptable.
- Multi-source ingestion and CDC: Kafka or Pub/Sub, Debezium, and onboarding many external client data sources with different schemas.
- Data contracts, lineage, reconciliation across systems, and cost optimization with real numbers.
- Hired and grew a small senior team; explains data risk and trade-offs in business terms.
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Skills
About Arintra
Arintra
11-50
employees
2020
6 years old
Austin
US
About
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention.
Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains.
Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow.
Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units.
Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.
Industries
Employee ratings
7 reviews
Culture
2.0
Career growth
2.0
Work-life
1.6
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